
************
** Table S16
************


* Open data
use "DataFinal.dta", replace




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** Descriptive Statistics
*************************

* 78% correctly remembered whether there was a mini-public or not
tab memory1_halfcorrect if haspos == 1 & comprehension_passed == 1 & speeder == 0

* 66% correctly remembered CA recommendation, if applicable
tab memory1_correct if ca == 1 & haspos == 1 & comprehension_passed == 1 & speeder == 0

* 73% correctly remembered how final decision was made
tab memory3_correct if haspos == 1 & comprehension_passed == 1 & speeder == 0

* 60% correctly remembered final decision outcome
tab memory2_correct if haspos == 1 & comprehension_passed == 1 & speeder == 0

* 39% correctly remembered everything
tab all_memory_correct if haspos == 1 & comprehension_passed == 1 & speeder == 0



***************
** Main Results
***************

* Procedural fairness
* Model 1
reg fair i.ca i.ref if haspos == 1 & comprehension_passed == 1 & speeder == 0 & all_memory_correct == 1
estimates store m1
* Model 2
reg fair i.caFollowed i.caNotFollowed i.ref if haspos == 1 & comprehension_passed == 1 & speeder == 0 & all_memory_correct == 1
estimates store m2
* Model 3
reg fair i.caFollowed##i.ref caNotFollowed##i.ref if haspos == 1 & comprehension_passed == 1 & speeder == 0 & all_memory_correct == 1
estimates store m3

* Decision acceptance
* Model 4
reg decacc i.ca i.ref if haspos == 1 & comprehension_passed == 1 & speeder == 0 & all_memory_correct == 1
estimates store m4
* Model 5
reg decacc i.caFollowed i.caNotFollowed i.ref if haspos == 1 & comprehension_passed == 1 & speeder == 0 & all_memory_correct == 1
estimates store m5
* Model 6
reg decacc i.caFollowed##i.ref caNotFollowed##i.ref if haspos == 1 & comprehension_passed == 1 & speeder == 0 & all_memory_correct == 1
estimates store m6
